Suppr超能文献

新型α-氮杂环硫代半卡巴腙配合物:合成、表征及抗菌性能研究

Novel α-N-heterocyclic thiosemicarbazone complexes: synthesis, characterization, and antimicrobial of properties investigation.

作者信息

Nartop Dilek, Hasanoğlu Özkan Elvan, Öğütcü Hatice, Kurnaz Yetim Nurdan, Özdemir İnci

机构信息

Department of Chemistry, Faculty of Arts and Sciences, Düzce University Düzce Turkiye.

Department of Chemistry, Faculty of Sciences, Gazi University Ankara Turkiye

出版信息

RSC Adv. 2024 Sep 16;14(40):29308-29318. doi: 10.1039/d4ra04002c. eCollection 2024 Sep 12.

Abstract

In this paper, eight novel α-N-heterocyclic thiosemicarbazone complexes were synthesized in search of new biologically active compounds, and characterized organic elemental analysis, nuclear magnetic resonance spectroscopy, infrared spectra, thermogravimetric analysis, ultraviolet-visible spectroscopy, molar conductance and magnetic susceptibility measurements. The antimicrobial activity of these complexes was examined against ten disease-causing pathogens: Gram-positive bacteria ( ATCC9341, ATCC12228, RSKK863) and Gram-negative bacteria ( ATCC27853, ATCC27853, ATCC51342, H NCTC9018394, NCTC2966, RSKK96026) and yeast ( Y-1200-NIH). The results revealed that the α-N-heterocyclic thiosemicarbazone compounds showed potent activity. It was observed that all thiosemicarbazone complexes were more susceptible to Gram-negative strains based on the presence of an electron-withdrawing substituent (-Br/-Cl/-F). It was determined that thiosemicarbazone Cucomplexes showed stronger antifungal effects.

摘要

本文合成了八种新型α-N-杂环硫代卡巴腙配合物以寻找新的生物活性化合物,并通过有机元素分析、核磁共振光谱、红外光谱、热重分析、紫外可见光谱、摩尔电导率和磁化率测量对其进行了表征。考察了这些配合物对十种致病病原体的抗菌活性:革兰氏阳性菌(ATCC9341、ATCC12228、RSKK863)和革兰氏阴性菌(ATCC27853、ATCC27853、ATCC51342、H NCTC9018394、NCTC2966、RSKK96026)以及酵母(Y-1200-NIH)。结果表明,α-N-杂环硫代卡巴腙化合物显示出强效活性。基于吸电子取代基(-Br/-Cl/-F)的存在,观察到所有硫代卡巴腙配合物对革兰氏阴性菌株更敏感。确定硫代卡巴腙铜配合物显示出更强效的抗真菌作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/076c/11403394/a471df4bf25d/d4ra04002c-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验